Poisson distribution, Applied Statistics

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Poisson Distribution

The poisson Distribution  was discovered  by French mathematician simon  denis  poisson. It is a discrete probability distribution.

Meaning :

In binomial distribution if the value of is very large (n=) and the values of p is too small (p-0)  and np  is finite number, in this  situation the binomial  distribution is not suitable to be used. In  other words. The  poisson distribution  is  applicable where  the successful events in the total  events  are few.

Situations where poisson distribution is applicable

1.       Number of defective blades out of total blades produced in a factory .

2.      Number of goals scored at a football match, wherein number of attempts may be a lot of but the success  are few.

3.      Number of mistakes   found in the pages of a book published by a repute press.

4.       Number of telephone calls done during every  5 minutes  by a businessman.

5.      Number of typing errors per page in a typed   material.,

6.      No of accidents met by a taxi driver in a year.

7.      The arrival of customers arriving per hour at the super market.

8.      The arrival of trains arriving per10 minutes in the railway yard.

9.      Number of flying bombs per year in a small area.


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